CTEMPs provides field-deployable high-precision fiber optic temperature and acoustic measurement systems, Openly Published Environmental Sensors https://open-sensing.org/, and Unmanned Aircraft Systems (UAS) https://www.unr.edu/uas-federation. User fees are very low, and experiment design, installation, and data analysis is supported by a staff of scientists. Instruments are available now, obtained rapidly through an online request form. All non-commercial projects for discovery and education are welcome.
CTEMPs offers a series of courses to train researchers and students on the leading edge of distributed sensing and UAS.
CTEMPs has developed a suite of policies on instrument accessibility and data sharing in concert with its Advisory Board and CUAHSI.
CTEMPS provides access to equipment for the advancement of understanding of environmental processes using innovative sensing. Since CTEMPS offers instrumentation that is not normally accessible, many times it is necessary to verify that it will perform as required for a particular application. In addition, CTEMPS seeks to introduce transformative equipment to scientists early in their careers to help them incorporate these technologies as they establish their research trajectories. To assist the community in this effort, CTEMPS has a pilot program, where equipment and support is made available for short-term installations on limited budgets with the primary goal to collect publishable data that verifies feasibility. The Pilot Program is open to graduate students, post-doctoral scholars, and tenure-track PIs with preference given to young investigators.
Proposals are evaluated based on these criteria, with the basis that if equipment is available, it will be provided to all valid uses, and otherwise prioritized via this point system:
Instrument leasing and mobilization fees can be waived, however no financial support is provided. Proposals will be reviewed and awarded by the CTEMPs staff. Prospective PI's are encouraged to contact the staff of the Center with any questions.
Proposal applications are accepted anytime. Proposals are reviewed by the CTEMPs staff with notification within 3 weeks of submission. We encourage you to get in contact with CTEMPs staff to develop your Pilot Program proposal to refine concepts, experimental design, and logistical aspects. Proposals should be submitted in electronic form to Ann Gaidos-Morgan.
Proposal Contents:
Data Policy: As in all CTEMPS projects, data will be made public consistent with the overall CTEMPs Data Sharing Policy.
Report: Awardees are required to submit a report one year after the delivery of the data.
NOTE: These policies and procedures are subject to change. However, no retroactive changes are to be implemented.
The CTEMPS equipment represents a significant resource to the hydrologic and earth sciences community. The quality of the data collected by this resource is such that it will be of interest to investigators for many years. In order to encourage the use of the data by others and thereby make the facility of more value to the community, it is CTEMPS policy that all data collected by instruments be provided to the Center in ODM format so that they can be accessed by other interested investigators after a proprietary period of 6 months.
The Center's policy is that delivery of data is an obligation of the investigator, and the archival of the data for potential community use after the propriety period is the responsibility of the Center. As most instruments available from the Center will be delivered with wireless modem/data transmission systems, the Center will automatically archive raw data. However, it is the PI's responsibility to provide a Metadata Report on the experimental design for Center archiving. The Metadata Report will be generated in a consistent form with the National Water Metadata Catalog developed by the CUAHSI HIS and will contain data on the installation, experimental design and all other pertinent data appropriate for interpreting the results. The Center will provide archived data access to the PI throughout the course of the experiment and beyond. The data and MetaData Report will remain confidential for a period of 6 months after the end of the fieldwork. Requests for access to data prior to this time will be forwarded to the PI and the decision for early release will be made jointly by the PI and the Center.
|
John SelkerCo-Director |
541-737-6304 |
Biological & Ecological Engineering 210 Gilmore Hall Oregon State University Corvallis, Oregon 97331-3906 |
Email John Selker |
Adrian HarpoldPrincipal Investigator |
775-784-6759 |
Dept. of Geological Sciences and Engineering University of Nevada, Reno 1664 N. Virginia St. Reno, NV 89557-0172 |
Email Adrian Harpold | |
Scott W. TylerCo-Director |
775-784-6250 |
Dept. of Geological Sciences and Engineering University of Nevada, Reno MS 175 Reno, NV 89557-0172 |
Email Scott Tyler | |
Chris KrattLaboratory Manager |
775-784-4986 |
Dept. of Geological Sciences and Engineering |
Email Chris Kratt | |
Chet Udell
|
352-328-9436 |
Dept. of Biological and Ecological Engineering |
Email Chet Udell | |
Eileen Martin |
303-273-3455 |
Colorado School of Mines
|
Email Eileen Martin | |
Mark HausnerCo-Director |
775-673-7352 |
Division of Hydrologic Sciences
|
Email Mark Hausner |
The instruments and technical skills of the Center are designed to support the hydrologic sciences and engineering communities. Instruments will be made available on a first-come/first served principle. Instrument requests from funded competitive granting agencies will not be competitively reviewed within the Center, as the Center will rely upon the review process of the agencies. However, the Center does reserve the right to review the request to insure that the proposed activities are feasible and attainable with the requested resources. This approach has been successfully utilized by many scientific consortia, such as IRIS-PASSCAL and the Center will adopt this model during its first two years of operation.
Based on the concepts of fairness and availability, the following protocols will be used to schedule and accommodate instrument requests:
Application for instrument and equipment support can be made via the Instrument Request page. The Center will review all proposals for feasibility and appropriateness of instrumentation. Any disputes regarding instrumentation or access will be taken before the CAB for analysis. The CAB represents the final authority in any cases of dispute.
CTEMPs support should be acknowledged in any resulting publications using a statement similar to the below:
"We thank CTEMPs, funded by the National Science Foundation (EAR awards 1832109 and 1832170), for timely and effective provision of experimental design support, logistical support and equipment for the project."
Currently, CTEMPs has 3 Field Deployable DTS (FD-DTS) systems that are complete, stand-alone systems capable of running on solar power or 110/220 VAC. These systems are designed for harsh environments and can be configured with a variety of data storage and upload capacities. In addition, CTEMPs maintains 3 other types of DTS systems, one designed primarily for 110VAC power accessible environments, with less harsh environmental conditions (Sensornet Halo) and two high spatial and temporal resolution instruments (Silixa XT and Ultima). The Center also has access, on an as-available basis, to several DTS systems operated by OSU and UNR. CTEMPs has also developed a power pulse contoller for heating fiber optic cables. The Center has 2 units available for lease. CTEMPs at OSU has 2 cargo trailers equipped with 1260 W of solar panels each. Please contact the Center to determine if these systems are available and fit your needs. See Instrument Lease Rates for a complete list of available equipment and costs.
Priority will be given for standard deployment periods (6 weeks) for these instruments.
Oryx DTS with 5km range and operating software. Included is a 3G compatible cell phone data link via Verizon or AT&T network (SIM card provided) and on-board data storage. The system is enclosed in a weatherproof shelter. The standard system is shipped to operate on 110VAC. The system can be equipped at additional cost with a 240 W solar system for power in most applications (user must provide two 70 amp-hour deep discharge batteries).
Deployment includes, upon request, standard calibration bath coolers and mixing pumps.
Contact CTEMPs for application requirements for this system (Silixa XT or Ultima).
Contact CTEMPs for deployment options and availability.
The CTEMPs Power Pulse Controller is designed to provide easily controlled pulses of electrical power. The electrical power pulses are intended for use with armored optical fiber cables. The controller is designed to operated with either 120V AC or 240V AC with a maximum amperage of 30 A. Up to four cable sections can be heated on a programmable schedule. Contact CTEMPs for application requirements for this system.
DTS
Instrument system |
Cost |
Distributed Acoustic Sensing System (DAS) | Negotiable |
Field Deployable DTS system (e.g. Sensornet Oryx) |
$50/day plus shipping |
Medium resolution DTS (e.g. Silixa XT) |
$100/day plus shipping |
High resolution DTS (Silixa Ultima) |
$125/day plus shipping |
240W Solar power system for Field DTS |
$200/mo plus shipping |
1,260 W Solar trailer |
$25/day plus transportation |
Additional stand-alone temperature loggers (0.2 °C, e.g. Tidbits) |
$3.5/day (package of 10) plus shipping |
Stand-alone high resolution temperature logger (0.002 °C, e.g. RBRsolo-T) |
$3/day plus shipping |
Fiber-optic cable heating system |
$10/day plus shipping |
$50/day plus shipping |
|
Splice boxes (watertight, e.g. Tyco Gator Splice Box, COYOTE® LCC (Low Count Closure)) |
$65 each plus shipping |
Cable connector (Pigtail - single ended with E2000(apc)) |
$50 each plus shipping |
*Field deployable DTS system is in a weatherproof enclosure, and includes, upon request at no additional cost, reference baths and cellular data uplink capacity. System cost does not include solar panel option. |
Cable style |
Purchase |
Lease |
Standard (e.g. OFS Mini LT Flat Drop) |
$0.65/m plus shipping* |
$0.33/m plus two-way shipping |
Armored (e.g. Kaiphone) |
$2.50/m plus shipping* |
$1.00/m plus two-way shipping |
High Pressure (e.g. Solifos BRUsens) |
$5.00/m plus shipping* |
$1.25/m plus two-way shipping |
Special Purpose |
Please contact CTEMPs |
|
*All cables are multi-mode and dual fiber. E2000 connectors will be added upon request at additional cost. |
All rentals are on a daily basis (8h) including a professional pilot. Extra charge applies for pilot's Per Diem rate & transportation
Instrument system |
Cost |
Light lift UAS with a standard visible camera and pilot |
$556/day plus shipping |
Medium lift UAS with standard visible camera and pilot |
$618/day plus shipping |
Medium lift UAS with multispectral camera and pilot |
$804/day plus shipping |
Medium lift UAS with thermal Infrared camera and pilot |
$1,020/day plus shipping |
Medium lift UAS with magnetometer |
$1,500/day plus shipping |
** Lease rates apply for the entire rental period starting when the equipment is shipped from CTEMPs location to recipient and until the equipment is fully returned, in original condition and with all the accessories provided.
Listed below are links and PDF descriptions of various sensing systems, cables, accessories and recent developments in environmental sensing. The listing of this information does not represent endorsement or product support by CTEMPs, but rather is designed to serve as an information resource for users. CTEMPs will periodically update and add to this reference material and users are encouraged to contact CTEMPs with suggestions for postings.
Jump to a year: 2009-2010, 2010-2011, 2011-2012, 2012-2013, 2013-2014, 2014-2015, 2015-2016, 2016-2017, 2018, 2019, 2020, 2021
Project metadata and data (after two years) are available through HydroShare.
Principle Investigator | Affiliation | Project Sponsor | Duration (months) | Project Focus |
---|---|---|---|---|
E. Martin | Virginia Tech | NSF | 12 | Sits: Collaborative Research: Understand and Forecast Long-term Variations of In-situ Geophysical and Geomechanical Characteristics of Degrading Permafrost in the Arctic |
M. Wengrove | Oregon State University | Department of Defense | 1.3 | Bottom Mounted Fiber Optics for Sensing Nearshore Hydrodynamics |
L. Murdoch | Clemson University | Department of Defense | 12 | Development of high temperature thermal energy storage and recovery using borehole heat exchangers |
R. Cook | Sandia National Lab | Department of Energy | 0.6 | Tethered ballon systems |
N. Terry | U.S.G.S | Department of Defense | N/A | Demonstrating a Multi-Scale Thermal and Electromagnetic Technologies Toolbox for Improved Mapping and Monitoring of Contaminated Groundwater Discharges to Surface Water |
H. Chang | Portland State University | Tualatin River Environmental Enhancement (TREE) Grant Program | 1.5 | Effects of Stream Restoration and Beaver Activities on Stream Temperatures in Urban Streams |
M. Silivia | WoodsHole | NASA | 1.2 | Test the survivability of certain fiber optic tethers as they are frozen into water ice at pressures up to 3000 psi. |
C. Gabrielli | SelkerMetrics | N/A | 1.0 | Locating and quantifying groundwater discharge to a marine waterway |
E. Williams | The University of Texas at Austin | NSF | 2.3 | Multi-scale Thermal Mapping of Submarine Groundwater Discharge in Critical Coastal Ecosystems of Volcanic Islands |
Principle Investigator | Affiliation | Project Sponsor | Duration (months) | Project Focus |
---|---|---|---|---|
C. Gabrielli | SelkerMetrics | N/A | 9 | Conway Culvert |
N. Terry | USGS | USGS | 0.03 | Thermal hydrologic survey |
D. Dexheimer | Sandia National Lab | Department of Energy | 0.8 | Tethered balloon experiment |
E. Martin | Virginia Tech | NSF | 4 | Sits: Collaborative Research: Understand and Forecast Long-term Variations of In-situ Geophysical and Geomechanical Characteristics of Degrading Permafrost in the Arctic |
D. Dexheimer | Sandia National Lab | Department of Energy | 0.5 | Tethered balloon experiment |
M. Wengrove | Oregon State University | Department of Defense | 2.7 | Bottom Mounted Fiber Optics for Sensing Nearshore Hydrodynamics |
T. Scambos | NSIDC | NSF | 1.75 | DTS and DAS Thwaites glacier |
M. Wengrove | Oregon State University | internal | 0.1 | DAS cable performance testing in OSU Wave Lab |
Principle Investigator | Affiliation | Project Sponsor | Duration (months) | Project Focus |
---|---|---|---|---|
D. Fratta | UW-Madison | Department of Defense | 2.1 | Experimental model of a horizontal geothermal exchange system |
J. Miller | University of Colorado | NSF | 1 | Antarctica Firn aquifers |
C. Gabrielli | SelkerMetrics | NA | 8 | Conway Culvert |
C. Opatz | U.S. Geological Survey | Department of Defense | 0.8 | Metals in terrestrial groundwater and intertidal marine porewater along unwalled shorelines of the Bremerton Naval Complex, WA |
M. Yates | U.S. Geological Survey | Other | 0.5 | Johnson Creek Basin Water Temperature Monitoring |
X. Hu | Oregon State University | Department of Energy | 0.0 | Creation of a single mode fiber sensor |
Principle Investigator | Affiliation | Project Sponsor | Duration (months) | Project Focus |
---|---|---|---|---|
M. Siegfried | Stanford University | NSF | 11.5 | SALSA: Mapping subglacial groundwater in Antarctica |
D. Winebrenner | University of Washington | NSF | 0.2 | Dense observation of geothermal fluxes in Antarctica |
KC Carroll | New Mexico State University | Department of Energy | 2.6 | Temperature Mapping as an Indirect Characterization Method for Surface Water-Hyporheic Zone Exchange |
E. Pardyjak | University of Utah | NSF | 1.4 | Idealized Planar Array experiment for Quantifying Surface heterogeneity |
M. Wengrove | Oregon State University | CTEMPs | 3 | DTS for detecting dune erosion |
S. Kelley | New Mexico Bureau of Geology | Internal | 1 | Summer of Applied Geophysical Experience –undergraduate instruction |
A. Stonewall | USGS Oregon Water Science Center | USGS | 0.7 | Lake bottom temperature in Crystal Springs Lake |
C. Gabrielli | Selker Metrics | Other | 0.4 | Detecting groundwater upwelling in Newtown Creek Canal in New York City. |
X. Hu | Oregon State University | Department of Energy | 0.0 | Creation of a single mode fiber sensor |
B. Caves | Andrews Hammock & Powell Inc. | Department of Defense | 0.6 | Geologic and Thermal Analysis at Ft. Benning, GA |
J. Miller | University of Colorado Boulder | NSF | 2.0 | Antarctic Firn Aquifers |
Principle |
Affiliation | Project Sponsor | Duration (months) | Project Focus |
D. Hare | AECOM | Nevada Division of Environmental Protection | 1 | Groundwater discharge |
R. Tipping | University of Minnesota | Other | 0.5 | Evaluate Temperature, Streamflow, and Hydrogeology Impact on Brook Trout Habitat |
T. Pickering | U.S. Navy | U.S. Navy | 0.25 | Side by side comparison of multiple DTS units |
P. Long | Lake Chelan Research Institute | Other | 12 |
Internal seiche in Lake Chelan |
A. Rich | Sonoma County Water Authority | Other | 4 |
Distributed Temperature Sensing in an Aquifer Storage Recovery Injection Observation Well |
C. Thomas | University of Bayreuth | Internal | 0.25 |
Wind direction from comparison of arrays of heated and passive fiber optic cables |
J. van Ramshorst | TU Delft | Internal | 0.35 |
Wind speed from comparison of heated and passive fiber optic cables |
Eric Pardyjak | University of Utah | NSF | 0.7 | Idealized Planar Array experiment for Quantifying Surface heterogeneity |
Frank Selker | Selker Metrics | Other | 2.1 | Passaic River |
Mark Hausner | Desert Research Institute | DOE | 0.6 | Temperature profiling during sampling |
Thomas Glose | University of Buffalo | CTEMPs | 1.2 |
Quantification of Fluxes Using a Physically Paired Fiber-Optic Cable |
Kurt Feigl |
University of Wisconsin | CTEMPs | 0.25 | PoroTomo project follow-up well bore temperature profile |
April Hiscox | University of South Carolina | NSF | 3 | SAVANT: Stable Atmospheric Variability ANd Transport |
Dale Winebrenner | University of Washington | NSF | 3 | Dense observation of geothermal fluxes in Antarctica |
Matthew Siegfried | Stanford University | NSF | 2.4 | SALSA: Mapping subglacial groundwater in Antarctica |
Robert Tipping | University of Minnesota | Other | 1.6 | Hydrogeology and Trout Health, Southeastern Minnesota |
Kurt Feigl | University of Wisconsin | CTEMPs | 0.25 | Distributed Acoustic sensing at PoroTomo for detection of Nevada Test Site M 2.3 explosion |
Principle |
Affiliation | Project Sponsor | Duration (months) | Project Focus |
S. Chandra | UNR | NSF | 5 | Lake stratification |
M. Daniels | NOAA | NOAA | 12 | Lake Shasta |
S. Tulaczyk | UCSC | NSF | 3 | Whillans Ice Stream Subglacial Access Research Drilling |
Y. Cheng | Columbia University | DOE | 9 | Heated optic fiber experiment |
K. Davis | University of California - Irvine | Internal | 3 | Quantifying influences of small-scale variability and recent thermal history on coral thermal tolerance |
S. Giddings | UCSD | USC Sea Grant | 1 | Ocean-lagoon mixing |
M. Hausner | Desert Research Institute | DOE | 0.3 | A pilot test of distributed thermal perturbation sensing as a method to assess hydrogeologic heterogeneities on Pahute Mesa |
R. Tipping | University of Minnesota | Other | 2 |
Evaluate Temperature, Streamflow, and Hydrogeology Impact on Brook Trout Habitat |
T. Gilmore | University of Nebraska-Lincoln | Internal | 3 |
Using fiber optic distributed temperature sensing and point-scale measurements to quantify groundwater-surface water flux |
J. Cole | U.S. Geological Survey | Other | 2 |
Fine Scale Temperature in the Delaware River |
D. Dexheimer | Sandia National Laboratories | DOE | 1 |
Aerial Assessment of Liquid in Clouds at Oliktok |
C. Hatch | University of Massachusetts | USDA | 3 |
Soil moisture in wetland habitat |
P. Long | Lake Chelan Research Institute | Other | 2 |
Internal seiche in Lake Chelan |
C. Higgins | Oregon State University | Internal | 0.1 |
Total solar eclipse |
D. Winebrenner | University of Washington | NSF | 2 |
Rapid ice drilling |
Principle |
Affiliation | Project Sponsor | Duration (months) | Project Focus |
Dexheimer | Sandia Labs | DOE | 5 | Atmospheric characterization from tethered balloons, TX |
Chandra | Univ. of Nevada, Reno | 4.5 | Temperature profile of Castle Lake, CA | |
J. Selker | Oregon State Univ. | NOAA | 1 | Stream thermal monitoring in the Middle Fork John Day River |
S. Tulaczyk | UC Santa Cruz | NSF | 3 | WISSARD project, Antarctica |
Singha | CO School of Mines | CUAHSI | 1.5 | CUAHSI workshop |
V. Martin | Polytechnique Montreal | Internal | 2.5 | Water fluxes through waste rock |
C. Higgins | Oregon State Univ. | Internal | 1 | Effectiveness of frost protection in vineyards |
Gentine | Columbia Univ. | DOE | 3 | Spatial structure of turbulence |
M. Hausner | Desert Research Institute | Internal | 5 | Thermal monitoring of a shallow springbrook |
E. Kempema | Univ. Wyoming | NSF | 1.5 | Groundwater surface water exchange |
USFS | Internal | 3 | Effect of forest practice management on snowpack/watershed | |
T. Scambos | Univ. of Oregon | NSF-OPP | 0.5 | Ice shelf monitoring |
Principle Investigator |
Affiliation |
Project Sponsor |
Duration (months) |
Project Focus |
K. Davis |
UC Irvine |
NSF |
2 |
Coral reefs in the South China Sea |
S. Tulaczyk |
UC Santa Cruz |
NSF-Polar Programs |
1 |
WISSARD Project Antarctica |
E. Kempema |
Univ. Wyoming |
NSF |
1 |
Groundwater surface water exchange |
T. White |
Penn State |
NSF-CZO |
6 |
CZO/REU Projects at Shale Hills and Cristina River CZO |
Woods Hole Oceonographic Institute |
WHOI |
NSF |
2 |
Continental shelf oceanography |
P. Wetzel |
Smith College |
NSF |
3 |
Stream thermal monitoring |
D. Hyndman |
Michigan State Univ |
NSF |
1 |
Lake monitoring |
C. Zarneski |
Michigan State Univ |
NSF |
1 |
Stream thermal monitoring |
C. Higgins/H. Holmes |
Oregon State Univ/ Univ of Nevada, Reno |
NSF |
1 |
Athmospheric boudary layer near windmills |
S. Broda |
Ecole Polytéchnique |
Environment Canada |
2 |
Tar sand tailings monitoring |
L. Hawkins |
Cornell Univ. |
NSF |
0.5 |
Fusion splicer only |
S. Null |
Utah State Univ. |
State of Utah |
1 |
Stream thermal monitoring |
C. Ochoa |
Oregon State Univ. |
Oregon State Univ. |
6 | Stream thermal monitoring |
E. Danner |
NOAA |
NOAA |
5 | Lake Shasta thermal monitoring |
C. Surfleet |
Cal Poly |
State of California |
0.5 | Surface water groundwater interaction |
D. Catsenyk |
SUNY-Onieda |
CTEMPs Pilot Program |
1 | Surface water groundwater interaction |
A. Parsekian |
Univ. Wyoming |
NSF |
2 | Groundwater surface water exchange |
Principle Investigator |
Affiliation |
Project Sponsor |
Duration (months) |
Project Focus |
K. Davis |
UC Irvine |
NSF |
2 |
Coastal Oceanography |
S. Tulaczyk |
UC Santa Cruz |
NSF-Polar Programs |
1 |
WISSARD Project Antarctica |
T. White |
Penn State |
NSF-CZO |
6 |
CZO/REU Projects at Shale Hills and Cristina River CZO |
Woods Hole Oceanographic Institute |
WHOI |
NSF |
2 |
Continental shelf oceanography |
S. Null |
Utah State Univ. |
State of Utah |
1 |
Stream thermal monitoring |
C. Surfleet |
Cal Poly |
State of California |
0.5 | Surface water groundwater interaction |
D. Catsenyk |
SUNY-Onieda |
CTEMPs Pilot Program |
1 | Lake Vanda Limnology |
A. Parsekian |
Univ. Wyoming |
NSF |
2 | Groundwater surface water exchange |
S. Tyler |
CUAHSI |
NSF |
0.5 | DTS Short Course |
Principle Investigator |
Affiliation |
Project Sponsor |
Duration (months) |
Project Focus |
C. Thomas |
Oregon State Univ. |
NSF-PDM |
3 |
Atmospheric Science |
S. Tulaczyk |
UC Santa Cruz |
NSF-Polar Programs |
1.5 |
WISSARD Project-Antarctica |
D. Catsenyk |
SUNY-Oneonta |
CTEMPS Pilot Program |
1.5 |
Lake Vanda limnology |
A. Parsekian |
Stanford Univ. |
NSF |
2 |
Groundwater recharge |
R. Pinkel |
Scripps |
NSF-Ocean Sciences |
2 |
Tahiti oceanography |
K. Smettem |
Univ. of Western Australia |
National Centre for Groundwater Research |
4 |
Soil moisture monitoring |
T. Read |
Norwich Univ. |
EU |
1 |
Well flow measurement |
A. Anon |
Hebrew Univ. |
Israeli Geo Surv |
1 |
High res Dead Sea processes |
C. Jasper |
CO School of Mines |
Internal University |
On-going |
High resolution infiltration |
S. Sellwood |
Univ. of Wisconsin |
State of Wisconsin |
2 |
Borehole flow and interaquifer flow |
P. Kyle |
New Mexico Tech |
NSF-Polar Programs |
1 |
Volcanology |
Principle Investigator |
Affiliation |
Project Sponsor |
Duration (months) |
Project Focus |
C. Thomas |
Oregon State Univ. |
NSF-PDM |
3 |
Atmospheric Science |
J. Dozier |
UC Santa Barbara |
USCOE |
1.5 |
Snow Hydrology |
J. Lee |
Clemson Univ. |
NSF |
1 |
Stream-aquifer interaction in contaminated site |
A. Fryar |
U. of Kentucky |
DOE |
2 |
Surface Water/groundwater interactions |
R. Pinkel |
Scripps |
NSF |
1 |
Coastal Oceanography |
J. Duncan |
Univ. of N. Carolina |
CTEMPS Pilot Program |
1 |
Surface Water/groundwater interactions |
S. Steele-Dunne |
TU Delft |
NASA |
1 |
SMAP Soil Moisture Mapping |
P. Kyle |
New Mexico Tech |
NSF-Polar Programs |
1 |
Volcanology |
M. Goosef |
Penn. State Univ. |
NSF-Polar Programs |
1 |
Dry Valleys LTER |
L. Kryder |
Nye County, NV |
DOE |
1 |
Borehole thermal profiling |
C. Welty |
Univ. of Maryland |
NSF |
2 |
Urban Hydrology (LTER) |
E. Bray |
UC Santa Barbara |
Pilot Program |
1.5 |
Surface Water/groundwater interactions |
L. Tallon |
Univ. of Saskatchewan |
NSERC |
0.5 |
Tar Sand Reclamation |
K. Costigan |
Kansas St. Univ. |
Pilot Program |
2 |
River Dynamics and Mixing |
C. Ochoa |
New Mexico St. Univ. |
USDA |
1 |
Prescribed Burn soil monitoring |
A. Lewis |
State of New Mexico |
State of New Mexico |
1 |
Stream Habitat Monitoring |
G. Scoppatone |
USGS |
US Fish and Wildlife Serv. |
3 |
Stream Habitat Restoration |
C. Hatch |
U. of Mass |
NSF |
0.5 |
CUAHSI Short Course |
L. Bond |
Humboldt State Univ. |
NSF |
1 |
River Restoration and Salmon Recovery |
Principle Investigator |
Affiliation |
Project Sponsor |
Duration (months) |
Project Focus |
J. Dozier |
UC Santa Barbara |
Army Corps of Engineers |
1.5 |
Snow Hydrology |
H. Wang |
U. of Wisconsin |
NSF |
5 |
Geomechanics |
C. Buck*/J. Lund |
UC Davis |
CTEMPs Pilot |
2 |
Stream/Aquifer Salmon Restoration |
B. Yellen/D. Boutt |
Univ. of Mass |
NSF |
Cable Only |
Surface Water/groundwater |
M. Seyfield |
USDA-ARS |
NSF |
3 |
Snow and Freezing Soil Dynamics |
J. Wilson |
New Mexico Tech |
NSF-EPSCOR |
0.5 |
DTS Short Course |
S. Steele-Dunne |
TU Delft |
NASA |
3 |
SMAP Soil Moisture Monitoring support |
P. Kyle |
New Mexico Tech |
NSF |
2 |
Volcanology of Mt. Erebus |
C. Thomas |
Oregon State Univ |
US ARO |
3 |
Atmospheric Turbulence |
L. Kryder |
Nye County, Nevada |
US DOE |
0.25 |
Borehole thermal profile (heated) |
Laura Belica |
Great Basin National Park |
U.S. Park Service |
1 |
Stream habitat monitoring |
Ken Glander |
Duke University |
NSF |
1.5 |
Primate habitat monitoring, Costa Rica |
K. Martin*/J. Lundquist |
University of Washington |
NSF |
1.5 |
Forest/snow monitoring (cont.) |
J. Duncan*/L. Band |
North Carolina State |
CTEMPs Pilot |
3 |
Stream/Groundwater interaction |
K. Somers*/E. Bernhart |
Duke University |
CTEMPs Pilot |
2 |
Urban Heat Island impacts on water |
Andrew Rich* |
UC-Santa Barbara |
CTEMPs Pilot |
1 |
Coastal lagoon groundwater exchange |
Carlos Ochoa |
New Mexico State Univ. |
USDA |
1 |
Prescribed forest burn soil monitoring |
Amy Lewis |
State of New Mexico |
State |
1 |
Stream habitat study |
G. Scoppatone |
USGS |
USGS |
2 |
Stream habitat studies |
C. Welty |
Univ. of Maryland |
NSF |
1 |
Urban stream monitoring |
Principle Investigator |
Affiliation |
Project Sponsor |
Duration (months) |
Project Focus |
J. Lundquist |
U. of Washington |
NSF |
2 |
Snow Hydrology/Biogeochemistry |
J. Dozier |
UC Santa Barbara |
Corps of Engineers |
1.5 |
Snow Hydrology |
J. Bahr |
U. of Wisconsin |
USGS |
1 |
Aquifer storage and recovery |
H. Wang |
U. of Wisconsin |
NSF |
2 |
Geomechanics |
B. Andrews |
UC Berkeley |
CTEMPS Pilot Program |
1 |
Geothermal monitoring |
L. Karlson |
UC Berkeley |
CTEMPS Pilot Program |
2 |
Glacial Hydrology |
C. Buck |
UC Davis |
CTEMPS Pilot Program |
2 |
Stream/Aquifer exchange |
CTEMPS offers 1-day, 2-day and week-long courses on distributed temperature sensing, wireless autonomous sensing, and unmanned aerial systems. In addition, researchers and their students are welcome to visit the University of Nevada, Reno and the Oregon State University for "hands-on" training prior to instrument delivery. For announcements on upcoming short courses, see the Short Course Schedule below. To inquire or arrange a campus visit, please contact Scott Tyler or John Selker.
December 8, 2024: Annual hands-on training focusing on Distributed Fiber Optic Sensing Systems.
August 13-17, 2024: Hands-on Workshop on Fiber-Optic Distributed Acoustic and Temperature Sensing for Interdisciplinary Earth Scientists. Fiber-Optic_Distributed_Acoustic_and_Temperature_Sensing. Application deadline is April 10.
December 11, 2022 06:00 - 14:00 PST: SCIWS27 - Fiber Optic Sensing in the Earth Sciences: Timelapse Modeling Strategies for Soil Moisture, Geomorphic Transport, Tidal Processes, Polar Processes, and Oceanography. Registration through AGU Fall Meeting.
December 11, 2021: 10 am - 4 pm CST: SCIWS29: Enhanced Access of Distributed Temperature Sensing for Early Career Scientists. Register through AGU.
Videos
December 12, 2021: 8 am - 4 pm CST: SCIWS17: Distributed Acoustic Sensing in Earth Sciences: From Novice to Cutting Edge. Register through AGU.
September 20 - 22, 2021: 9 am - 12 pm PT. Virtual Workshop. Open Hydrological Sensor Technologies: DIY Stream Sensor Networks. Register through CUAHSI by August 30 at 11:59 PM ET.
December 2, 2020: 13:00 - 19:00 EST. Online. SCIWS4 Applications and Advances in Distributed Temperature Sensing (DTS) for Earth and Space Sciences. Registration through AGU Fall Meeting. Final Schedule.
Videos
December 1, 2020: 13:00 - 19:00 PST. Online. SCIWS2 AGU Workshop on Distributed Acoustic Sensing. Registration through AGU Fall Meeting.
August 31 - September 3, 2020: 9 AM – 12 PM PT, 12 PM – 3 PM ET. Online. Virtual Hand-Made Stream Sensor Networks Workshop: Build your own Smart Rock Sensor at Home! Registration Deadline: July 9, 2020. Registration through CUAHSI.
December 11, 2019, 12:30 - 13:30 - San Francisco, CA - Do-It-Together, International Community Around Openly Published Environmental Sensing. Town Hall information. Registration through AGU Fall Meeting.
December 10, 2019, 8 - 12:20 - San Francisco, CA - Do-It-Yourself Open-Source Environmental Sensing. Workshop information. Registration through AGU Fall Meeting.
December 8, 2019 - San Francisco, CA - Distributed Acoustic Sensing: Principles, Data Processing, and Applications in Earth Sciences. Workshop information. Registration through AGU Fall Meeting.
December 7, 2019 - San Francisco, CA - Applications and Advances in Distributed Temperature Sensing for Earth and Space Sciences. Workshop information. Registration through AGU Fall Meeting.
October 8-12, 2019 - Castle Thurnau, Germany - Fiber Optic Sensing in Earth and Atmospheric Sciences (FOSES). Workshop information and registration.
December 9, 2018 - Grand Hyatt, Washington, D.C. - Distributed Acoustic Sensing: Principles and Case Studies. Workshop information and registration.
August 1-2, 2018 - USFWS NCTC, Washington, D.C.
Two day short courses in DTS and sUAS. Workshop information and registration.
July 12-13, 2018 - Gleneden Beach, Oregon.
Two day workshop: Integrating Science Needs with Advanced Seafloor Sensor Engineering to Provide Early Warning of Geohazards: Visioning Workshop and Roadmap for the Future. Workshop information and registration. Agenda here.
December 9-10, 2017 - Stennis Space Center, Mississippi (near New Orleans, before the AGU Fall Meeting).
The Cutting Edge of Temperature: Distributed Temerature Measurement in Earth Sciences. Workshop announcement, flier and registration.
October 18-21, 2017 - Reno, Nevada.
The First UAS Hands-on Open Format Training Session. Workshop announcement, schedule and registration.
March 18, 2017 - ETH, Zurich, Switzerland
One day short course on DTS
December 10-11, 2016 - Stanford University, Palo Alto, CA
Two-day short course in Temperature and Acoustic Sensing with Fiber Optics. Workshop announcement & schedule.
December 11th, 2016 - Stanford University, Palo Alto, CA
1 day training: Scientific Sensing using Unmanned Aircraft Systems. Workshop announcement & schedule.
December 13th, 2015 - Stanford University, Palo Alto, CA
1 day training: Scientific Sensing using Unmanned Aircraft Systems AirCTEMPs. Workshop annoucement & Schedule
December 12-13, 2015 - Stanford University, Palo Alto, CA
Two-day short course. Workshop announcement & schedule
August 4, 2015 - Helsinki - Geological Survey of Finland
One day short course on DTS.
June 23-25, 2015 - Air CTEMPS course at Oregon State University, Corvallis, OR
Two-and-a-half-day course in Unmanned Aerial Systems in Earth Science.
July 30-August 3, 2014 - John Day, Oregon
Multi-day DTS short course
December 7-8, 2013 - Stanford University, Palo Alto, CA
Two-day short course - Workshop Announcement & Schedule
July 21-23, 2013 - Luxembourg
Fiber Optic Distributed Temperature Sensing (DTS) and Thermal IR imagery for Hydro-ecological Characterization
December 1-2, 2012 - Stanford University, Palo Alto, CA
Two-day short course on DTS.
July 14-15 & 19-20, 2012 - UCAR, Boulder, CO
Two sessions of two-day short courses in conjunction with the CUAHSI 3rd Biennial Colloquium on Hydrologic Science and Engineering.
April 23-24, 2012 - Beijing, China
Two-day short course on DTS.
December 3, 2011 - Stanford University, Palo Alto, CA
One-day short course on DTS.
December 11, 2010 - Stanford University, Palo Alto, CA
One-day short course.
July 22, 2010 - Boulder, Colorado
One-day short course to follow the CUAHSI Biannual Science meeting.
January 11-15, 2010 - Santiago, Chile
Five-day workshop on the San Joaquin Campus of the Pontificia Universidad Catolica de Chile.
December 12, 2009 - Berkeley, California
One-day short course.
2008 - HJ Andrews, Oregon
2007 - HJ Andrews, Oregon
CTEMPs offers instructional videos to train instrument users on how to assemble field deployable fiber-optic distributed temperature sensing systems (FD-DTS). While not yet nominated for the Academy Awards, these videos will help you assemble and operate CTEMPs instruments.
We recommend that you view these videos BEFORE heading to the field and with the instruments unpacked in your laboratory to thoroughly familiarize yourself with their assembly and operation. Please head over to our YouTube channel "ctemps" for access to all of our instructional videos and other resource videos: CTEMPS. You can also find recordings of past workshops on DTS, UAS and DAS on our channel.
The CTEMPs MATLAB® DTS Toolbox provides simple graphical user interfaces (GUIs) to completely process DTS field data from start to finish. Users can compile raw data files collected by either Sensornet or Silixa DTS systems and calibrate the temperature data in a few simple steps. The User Guide outlines the contents of the toolbox and provide basic instruction for using the toolbox. A comprehensive sample data set with step-by-step instruction has been included.
These ‘beta’ GUIs require specific data files and formats. Files not matching expected formats may cause processing errors. The Guide contains specific details for how data may need to be formatted in the event of processing errors. Documentation for each GUI is provided in the manual. These scripts were developed to be used with instruments leased through CTEMPs and have been tested on sample data sets collected from these instruments. Your feedback and recommendations are welcome.
This toolbox is the result of the hard work of both Mark Hausner and Scott Kobs.
DTSGUI is a public-domain software tool to import, manage, parse/cull, georeference, analyze and visualize fiber-optic distributed temperature sensor (FO-DTS) data.
Bas des Tombe, Bart Schilperoort, and Mark Bakker from Delft University of Technology have developed a Python based toolbox for calibrating DTS.
Detailed description of the calibration procedure:
des Tombe, B., Schilperoort, B. and Bakker, M., 2020. Estimation of Temperature and Associated Uncertainty from Fiber-Optic Raman-Spectrum Distributed Temperature Sensing. Sensors, 20(8), p.2235.
pyfocs is the University of Bayreuth Micrometeorology python library for processing Fiber Optic Distributed Sensing (FODS) data. It is intended to streamline the handling of large and long-term DTS setups.